OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 14279 runs submitted
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14279 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7131, kappa: 0.4242, kb_relative_information_score: 27605.6988, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7131, predictive_accuracy: 0.7132, prior_entropy: 0.9976, recall: 0.7132, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.7183, kappa: 0.4347, kb_relative_information_score: 27793.8767, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7183, predictive_accuracy: 0.7184, prior_entropy: 0.9976, recall: 0.7184, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7205, kappa: 0.4388, kb_relative_information_score: 24338.2482, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7208, prior_entropy: 0.9976, recall: 0.7208, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.5937, kappa: 0.1841, kb_relative_information_score: 7023.0657, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5936, predictive_accuracy: 0.5946, prior_entropy: 0.9976, recall: 0.5946, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7206, kappa: 0.4391, kb_relative_information_score: 5573.3177, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7206, predictive_accuracy: 0.7208, prior_entropy: 0.9976, recall: 0.7208, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4156, f_measure: 0.3749, kappa: 0.0044, kb_relative_information_score: -99.7789, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.562, predictive_accuracy: 0.5302, prior_entropy: 0.9976, recall: 0.5302, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4833, f_measure: 0.3911, kappa: 0.0056, kb_relative_information_score: -61.6049, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5238, predictive_accuracy: 0.5296, prior_entropy: 0.9976, recall: 0.5296, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5401, kb_relative_information_score: -16.375, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7211, kappa: 0.4403, kb_relative_information_score: 26812.0667, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7212, prior_entropy: 0.9976, recall: 0.7212, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.7227, kappa: 0.4434, kb_relative_information_score: 27290.4883, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7226, predictive_accuracy: 0.7228, prior_entropy: 0.9976, recall: 0.7228, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.723, kappa: 0.444, kb_relative_information_score: 26549.5165, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.723, predictive_accuracy: 0.7231, prior_entropy: 0.9976, recall: 0.7231, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.719, kappa: 0.4361, kb_relative_information_score: 26881.0566, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.719, predictive_accuracy: 0.719, prior_entropy: 0.9976, recall: 0.719, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7203, kappa: 0.4387, kb_relative_information_score: 26650.4258, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7203, predictive_accuracy: 0.7203, prior_entropy: 0.9976, recall: 0.7203, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.6681, kappa: 0.3367, kb_relative_information_score: 1460.8264, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.676, predictive_accuracy: 0.6731, prior_entropy: 0.9976, recall: 0.6731, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.6322, kappa: 0.2633, kb_relative_information_score: 11355.7936, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6363, predictive_accuracy: 0.6362, prior_entropy: 0.9976, recall: 0.6362, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.6288, kappa: 0.2566, kb_relative_information_score: 11026.7392, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6331, predictive_accuracy: 0.633, prior_entropy: 0.9976, recall: 0.633, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.719, kappa: 0.436, kb_relative_information_score: 27100.3099, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7189, predictive_accuracy: 0.719, prior_entropy: 0.9976, recall: 0.719, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7198, kappa: 0.4375, kb_relative_information_score: 11843.0838, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7197, predictive_accuracy: 0.72, prior_entropy: 0.9976, recall: 0.72, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7224, kappa: 0.4427, kb_relative_information_score: 27001.4387, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7223, predictive_accuracy: 0.7225, prior_entropy: 0.9976, recall: 0.7225, relative_absolute_error: 0.7527, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.6582, kappa: 0.3136, kb_relative_information_score: 485.5032, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6587, predictive_accuracy: 0.6593, prior_entropy: 0.9976, recall: 0.6593, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.6957, kappa: 0.3896, kb_relative_information_score: 5667.9779, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6958, predictive_accuracy: 0.6956, prior_entropy: 0.9976, recall: 0.6956, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.7115, kappa: 0.4208, kb_relative_information_score: -146.8392, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7115, predictive_accuracy: 0.7117, prior_entropy: 0.9976, recall: 0.7117, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.62, kappa: 0.2395, kb_relative_information_score: 10347.5582, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6248, predictive_accuracy: 0.6248, prior_entropy: 0.9976, recall: 0.6248, relative_absolute_error: 0.9107, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7201, kappa: 0.4384, kb_relative_information_score: 26607.3779, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7202, prior_entropy: 0.9976, recall: 0.7202, relative_absolute_error: 0.7566, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7128, kappa: 0.4235, kb_relative_information_score: 27651.4938, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7127, predictive_accuracy: 0.7129, prior_entropy: 0.9976, recall: 0.7129, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7218, kappa: 0.4417, kb_relative_information_score: 26105.76, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7218, predictive_accuracy: 0.7219, prior_entropy: 0.9976, recall: 0.7219, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.6946, kappa: 0.3868, kb_relative_information_score: 2383.6509, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6949, predictive_accuracy: 0.6953, prior_entropy: 0.9976, recall: 0.6953, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7226, kappa: 0.443, kb_relative_information_score: 6728.4867, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7226, predictive_accuracy: 0.7228, prior_entropy: 0.9976, recall: 0.7228, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7086, kappa: 0.415, kb_relative_information_score: 27447.7609, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7085, predictive_accuracy: 0.7087, prior_entropy: 0.9976, recall: 0.7087, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.721, kappa: 0.44, kb_relative_information_score: 25816.6974, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7209, predictive_accuracy: 0.721, prior_entropy: 0.9976, recall: 0.721, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.708, kappa: 0.4138, kb_relative_information_score: 17009.2315, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7079, predictive_accuracy: 0.7082, prior_entropy: 0.9976, recall: 0.7082, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6617, f_measure: 0.6206, kappa: 0.24, kb_relative_information_score: 10206.0113, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6243, predictive_accuracy: 0.6247, prior_entropy: 0.9976, recall: 0.6247, relative_absolute_error: 0.9122, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7205, kappa: 0.439, kb_relative_information_score: 27474.6101, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7206, prior_entropy: 0.9976, recall: 0.7206, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7208, kappa: 0.4396, kb_relative_information_score: 27584.5068, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.7209, prior_entropy: 0.9976, recall: 0.7209, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7208, kappa: 0.4398, kb_relative_information_score: 27530.1516, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.7209, prior_entropy: 0.9976, recall: 0.7209, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6383, kappa: 0.3099, kb_relative_information_score: 449.2888, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6834, predictive_accuracy: 0.6483, prior_entropy: 0.9976, recall: 0.6483, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7014, kappa: 0.4009, kb_relative_information_score: 4908.4185, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7014, predictive_accuracy: 0.7013, prior_entropy: 0.9976, recall: 0.7013, relative_absolute_error: 0.963, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7208, kappa: 0.4396, kb_relative_information_score: 25811.142, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7207, predictive_accuracy: 0.7208, prior_entropy: 0.9976, recall: 0.7208, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.6612, kappa: 0.3212, kb_relative_information_score: 15727.6969, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6656, predictive_accuracy: 0.6647, prior_entropy: 0.9976, recall: 0.6647, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7207, kappa: 0.4396, kb_relative_information_score: 27213.614, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7207, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7201, kappa: 0.4383, kb_relative_information_score: 26127.8978, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7198, kappa: 0.4378, kb_relative_information_score: 26669.1031, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7198, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7198, kappa: 0.4377, kb_relative_information_score: 27491.7864, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7198, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.6415, kappa: 0.2811, kb_relative_information_score: 764.2003, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6418, predictive_accuracy: 0.6413, prior_entropy: 0.9976, recall: 0.6413, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7164, kappa: 0.4308, kb_relative_information_score: 27539.6151, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7163, predictive_accuracy: 0.7164, prior_entropy: 0.9976, recall: 0.7164, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5364, f_measure: 0.4274, kappa: 0.0168, kb_relative_information_score: 290.8923, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5284, predictive_accuracy: 0.5322, prior_entropy: 0.9976, recall: 0.5322, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7186, kappa: 0.435, kb_relative_information_score: 10256.8509, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7185, predictive_accuracy: 0.7187, prior_entropy: 0.9976, recall: 0.7187, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0947, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.672, kappa: 0.3415, kb_relative_information_score: 6920.9051, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6719, predictive_accuracy: 0.6722, prior_entropy: 0.9976, recall: 0.6722, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.7103, kappa: 0.4184, kb_relative_information_score: 2607.1875, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7102, predictive_accuracy: 0.7105, prior_entropy: 0.9976, recall: 0.7105, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.6933, kappa: 0.3854, kb_relative_information_score: 2672.362, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6939, predictive_accuracy: 0.6931, prior_entropy: 0.9976, recall: 0.6931, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7139, kappa: 0.4255, kb_relative_information_score: -56.9192, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7139, predictive_accuracy: 0.7142, prior_entropy: 0.9976, recall: 0.7142, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7204, kappa: 0.4389, kb_relative_information_score: 25855.4025, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7205, prior_entropy: 0.9976, recall: 0.7205, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.4548, kappa: 0.0042, kb_relative_information_score: -185.3172, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5054, predictive_accuracy: 0.5219, prior_entropy: 0.9976, recall: 0.5219, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7189, kappa: 0.4358, kb_relative_information_score: 26465.9552, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7188, predictive_accuracy: 0.7189, prior_entropy: 0.9976, recall: 0.7189, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.714, kappa: 0.4259, kb_relative_information_score: 27756.4376, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7139, predictive_accuracy: 0.7141, prior_entropy: 0.9976, recall: 0.7141, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7209, kappa: 0.4398, kb_relative_information_score: 25404.4665, mean_absolute_error: 0.3839, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.721, prior_entropy: 0.9976, recall: 0.721, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.722, kappa: 0.4421, kb_relative_information_score: 25719.2387, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.722, predictive_accuracy: 0.7221, prior_entropy: 0.9976, recall: 0.7221, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7127, kappa: 0.4233, kb_relative_information_score: 3869.6126, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7127, predictive_accuracy: 0.7129, prior_entropy: 0.9976, recall: 0.7129, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7139, kappa: 0.4256, kb_relative_information_score: 20679.8781, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7142, predictive_accuracy: 0.7145, prior_entropy: 0.9976, recall: 0.7145, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.6072, kappa: 0.2842, kb_relative_information_score: 32.6957, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7041, predictive_accuracy: 0.6317, prior_entropy: 0.9976, recall: 0.6317, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7197, kappa: 0.4374, kb_relative_information_score: 25942.6186, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7196, predictive_accuracy: 0.7197, prior_entropy: 0.9976, recall: 0.7197, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7192, kappa: 0.4364, kb_relative_information_score: 26936.6712, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.7528, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.6689, kappa: 0.3364, kb_relative_information_score: 43.4103, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6727, predictive_accuracy: 0.6719, prior_entropy: 0.9976, recall: 0.6719, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.5298, kappa: 0.075, kb_relative_information_score: 882.4812, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.544, predictive_accuracy: 0.5479, prior_entropy: 0.9976, recall: 0.5479, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7159, kappa: 0.43, kb_relative_information_score: 27120.7518, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7159, predictive_accuracy: 0.7159, prior_entropy: 0.9976, recall: 0.7159, relative_absolute_error: 0.7493, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.7103, kappa: 0.4183, kb_relative_information_score: 18667.9922, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7112, predictive_accuracy: 0.7113, prior_entropy: 0.9976, recall: 0.7113, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.6712, kappa: 0.3401, kb_relative_information_score: 4556.4294, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6731, predictive_accuracy: 0.6732, prior_entropy: 0.9976, recall: 0.6732, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7184, kappa: 0.4347, kb_relative_information_score: 3672.5316, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7184, predictive_accuracy: 0.7186, prior_entropy: 0.9976, recall: 0.7186, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.7043, kappa: 0.4068, kb_relative_information_score: 3611.6704, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7044, predictive_accuracy: 0.7043, prior_entropy: 0.9976, recall: 0.7043, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.486, root_relative_squared_error: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7198, kappa: 0.4378, kb_relative_information_score: 26780.9164, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7198, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7199, kappa: 0.438, kb_relative_information_score: 26469.1435, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7199, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.719, kappa: 0.4358, kb_relative_information_score: 24116.0523, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7189, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7192, kappa: 0.4365, kb_relative_information_score: 25677.3144, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7192, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7211, kappa: 0.4403, kb_relative_information_score: 26813.9073, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7212, prior_entropy: 0.9976, recall: 0.7212, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7206, kappa: 0.4393, kb_relative_information_score: 25929.2591, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7206, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7198, kappa: 0.4378, kb_relative_information_score: 26886.5252, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7198, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7201, kappa: 0.4383, kb_relative_information_score: 26428.1464, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7225, kappa: 0.4429, kb_relative_information_score: 8579.2309, mean_absolute_error: 0.465, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7224, predictive_accuracy: 0.7227, prior_entropy: 0.9976, recall: 0.7227, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7205, kappa: 0.439, kb_relative_information_score: 25471.9581, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7206, prior_entropy: 0.9976, recall: 0.7206, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.7057, kappa: 0.409, kb_relative_information_score: 1307.2827, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7057, predictive_accuracy: 0.7061, prior_entropy: 0.9976, recall: 0.7061, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7197, kappa: 0.4374, kb_relative_information_score: 26651.2375, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7196, predictive_accuracy: 0.7197, prior_entropy: 0.9976, recall: 0.7197, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7231, kappa: 0.444, kb_relative_information_score: 25533.2094, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.723, predictive_accuracy: 0.7232, prior_entropy: 0.9976, recall: 0.7232, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7227, kappa: 0.4433, kb_relative_information_score: 7444.734, mean_absolute_error: 0.4697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7227, predictive_accuracy: 0.723, prior_entropy: 0.9976, recall: 0.723, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7204, kappa: 0.4388, kb_relative_information_score: 27428.5442, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7203, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7205, kappa: 0.4392, kb_relative_information_score: 26461.9356, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7206, prior_entropy: 0.9976, recall: 0.7206, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, f_measure: 0.4862, kappa: 0.0657, kb_relative_information_score: 1879.9736, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5625, predictive_accuracy: 0.5518, prior_entropy: 0.9976, recall: 0.5518, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7202, kappa: 0.4385, kb_relative_information_score: 26872.528, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7202, prior_entropy: 0.9976, recall: 0.7202, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.7154, kappa: 0.4287, kb_relative_information_score: 521.6207, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7154, predictive_accuracy: 0.7157, prior_entropy: 0.9976, recall: 0.7157, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7222, kappa: 0.4425, kb_relative_information_score: 27536.5838, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7222, predictive_accuracy: 0.7223, prior_entropy: 0.9976, recall: 0.7223, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, f_measure: 0.5092, kappa: 0.1124, kb_relative_information_score: 1418.1138, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6101, predictive_accuracy: 0.5745, prior_entropy: 0.9976, recall: 0.5745, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7228, kappa: 0.4436, kb_relative_information_score: 27433.7859, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7227, predictive_accuracy: 0.7229, prior_entropy: 0.9976, recall: 0.7229, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3677, kappa: -0.0001, kb_relative_information_score: -2.9977, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.4979, predictive_accuracy: 0.5284, prior_entropy: 0.9976, recall: 0.5284, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7171, kappa: 0.4319, kb_relative_information_score: 22265.6376, mean_absolute_error: 0.4005, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7171, predictive_accuracy: 0.7174, prior_entropy: 0.9976, recall: 0.7174, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.566, f_measure: 0.5413, kappa: 0.1214, kb_relative_information_score: 2720.7713, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5813, predictive_accuracy: 0.5741, prior_entropy: 0.9976, recall: 0.5741, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.6737, kappa: 0.3465, kb_relative_information_score: 17761.7686, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6788, predictive_accuracy: 0.6772, prior_entropy: 0.9976, recall: 0.6772, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7185, kappa: 0.435, kb_relative_information_score: 27478.7013, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7184, predictive_accuracy: 0.7185, prior_entropy: 0.9976, recall: 0.7185, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7189, kappa: 0.4356, kb_relative_information_score: 24558.4323, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7188, predictive_accuracy: 0.7191, prior_entropy: 0.9976, recall: 0.7191, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7196, kappa: 0.4372, kb_relative_information_score: 2571.9474, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7196, predictive_accuracy: 0.7198, prior_entropy: 0.9976, recall: 0.7198, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7209, kappa: 0.4398, kb_relative_information_score: 27099.714, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7209, predictive_accuracy: 0.721, prior_entropy: 0.9976, recall: 0.721, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8552,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs